I am a UX designer and researcher,currently studying at UC Berkeley.

Research, design, coding, I love them all.

Research

Cosmologists, emergency medical technicians, building managers, visually impaired seniors, these are some example users of my research portfolio.

I enjoy designing useful products for people who are different from me, and understanding these people’s needs is the starting point for effective designs. Through experience I have developed a toolkit of user research methods to build multi-faceted user personas.

Design

Web, mobile, wearable, and voice, I love experimenting with different interaction platforms.

I design with iterations and prototypes, powered with knowledge in interaction principles, patterns, and esthetics.

UX design = (prototyping + user testing) * n

Coding

I have experience developing full-scale mobile and web applications and beyond.

I believe designers should know how to implement the designs they create, as technical challenges often pose constraints on feasibility and performance. Knowing the code enables me to make informed design decisions and helps me communicate with engineers to obtain their buy-in on designs.

In CS260A, my group was assigned the challenge to design and develop an Android application that would deliver an integrated multi-device experience across the phone and the watch. Can the Android watch enable valuable use cases beyond simple message notifications?

In 2014, Google Glass was a new wearable with novice sensory and interactive affordances. Can we utilize this new technology to make outdoor navigation an easier experience for the visually impaired? My team set out to explore this design challenge.

IoT played an increasingly important role in people's lives; I was excited to explore its UX aspect. In Info214, I embarked on a UX research project to evaluate and improve the usability of an early-stage IoT application called OpenBAS.

Modern scientific discoveries rely on the power of supercomputers. However, managing computational tasks is sometimes difficult on a supercomputer. During my internship at Lawrence Berkeley National Lab, the birthplace of 13 Nobel Prizes, I was excited to help increase scientific productivity by creating a supercomputer task management tool.